344
---
title: "Adv Dashboarding"
output:
flexdashboard::flex_dashboard:
orientation: row
vertical_layout: fill
social: ["menu"]
source_code: embed
theme:
version: 4
bootswatch: sandstone
---
```{r setup, include=FALSE}
library(flexdashboard)
library(tidyverse)
library(palmerpenguins)
library(plotly)
library(DT)
library(fontawesome)
data("penguins")
```
Plots {data-navmenu="Pages"}
=========================================================
Sidebar{.sidebar}
---------------------------------------------------------
### Penguins Stats
The number of penguins in the data is `r nrow(penguins)`
Row
---------------------------------------------------------
### Number of penguins
```{r}
valueBox(nrow(penguins), icon = "fa-linux")
#fontawesome.com tons of awesome icons
```
Column {.tabset}
-----------------------------------------------------------------------
### Scatter plot of bill length vs bill depth
```{r}
a <- penguins %>% ggplot(aes(x = bill_length_mm, y = bill_depth_mm, color = species)) +
geom_point()
ggplotly(a)
```
Column {data-width=350}
-----------------------------------------------------------------------
### Chart B
```{r}
penguins %>% ggplot(aes(x = body_mass_g, y = sex, fill = sex)) +
geom_boxplot()
```
### Chart C
```{r}
penguins %>% ggplot(aes(x = flipper_length_mm, fill = species)) +
geom_histogram() +
facet_wrap(~species)
```
Data {data-navmenu="Pages"}
=========================================================
```{r}
penguins %>% datatable(extensions = "Buttons",
options = list(dom = "Blfrtip",
buttons = c("copy","csv","excel","pdf","print")))
```